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gm_strategy_cvr
Commits
a2df4105
Commit
a2df4105
authored
Sep 14, 2020
by
赵威
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remove device fd
parent
40b6a697
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2 changed files
with
70 additions
and
70 deletions
+70
-70
diary_model.py
src/models/esmm/diary_model.py
+14
-14
diary_fe.py
src/models/esmm/fe/diary_fe.py
+56
-56
No files found.
src/models/esmm/diary_model.py
View file @
a2df4105
...
...
@@ -179,20 +179,20 @@ _categorical_columns = [
# "recommend_service_id",
# "recommend_service_city",
# "recommend_service_price",
"device_fd2"
,
"device_sd2"
,
"device_fs2"
,
"device_ss2"
,
"device_fp2"
,
"device_sp2"
,
"device_p2"
,
"device_fd3"
,
"device_sd3"
,
"device_fs3"
,
"device_ss3"
,
"device_fp3"
,
"device_sp3"
,
"device_p3"
,
#
"device_fd2",
#
"device_sd2",
#
"device_fs2",
#
"device_ss2",
#
"device_fp2",
#
"device_sp2",
#
"device_p2",
#
"device_fd3",
#
"device_sd3",
#
"device_fs3",
#
"device_ss3",
#
"device_fp3",
#
"device_sp3",
#
"device_p3",
]
PREDICTION_ALL_COLUMNS
=
_int_columns
+
_float_columns
+
_categorical_columns
...
...
src/models/esmm/fe/diary_fe.py
View file @
a2df4105
...
...
@@ -311,20 +311,20 @@ CATEGORICAL_COLUMNS = [
# "recommend_service_id",
# "recommend_service_city",
# "recommend_service_price",
"device_fd2"
,
"device_sd2"
,
"device_fs2"
,
"device_ss2"
,
"device_fp2"
,
"device_sp2"
,
"device_p2"
,
"device_fd3"
,
"device_sd3"
,
"device_fs3"
,
"device_ss3"
,
"device_fp3"
,
"device_sp3"
,
"device_p3"
,
#
"device_fd2",
#
"device_sd2",
#
"device_fs2",
#
"device_ss2",
#
"device_fp2",
#
"device_sp2",
#
"device_p2",
#
"device_fd3",
#
"device_sd3",
#
"device_fs3",
#
"device_ss3",
#
"device_fp3",
#
"device_sp3",
#
"device_p3",
]
CROSS_COLUMNS
=
[
[
"device_fd"
,
"content_fd"
],
...
...
@@ -334,20 +334,20 @@ CROSS_COLUMNS = [
[
"device_fp"
,
"content_fp"
],
[
"device_sp"
,
"content_sp"
],
[
"device_p"
,
"content_p"
],
[
"device_fd2"
,
"content_fd"
],
[
"device_sd2"
,
"content_sd"
],
[
"device_fs2"
,
"content_fs"
],
[
"device_ss2"
,
"content_ss"
],
[
"device_fp2"
,
"content_fp"
],
[
"device_sp2"
,
"content_sp"
],
[
"device_p2"
,
"content_p"
],
[
"device_fd3"
,
"content_fd"
],
[
"device_sd3"
,
"content_sd"
],
[
"device_fs3"
,
"content_fs"
],
[
"device_ss3"
,
"content_ss"
],
[
"device_fp3"
,
"content_fp"
],
[
"device_sp3"
,
"content_sp"
],
[
"device_p3"
,
"content_p"
],
#
["device_fd2", "content_fd"],
#
["device_sd2", "content_sd"],
#
["device_fs2", "content_fs"],
#
["device_ss2", "content_ss"],
#
["device_fp2", "content_fp"],
#
["device_sp2", "content_sp"],
#
["device_p2", "content_p"],
#
["device_fd3", "content_fd"],
#
["device_sd3", "content_sd"],
#
["device_fs3", "content_fs"],
#
["device_ss3", "content_ss"],
#
["device_fp3", "content_fp"],
#
["device_sp3", "content_sp"],
#
["device_p3", "content_p"],
]
...
...
@@ -463,21 +463,21 @@ def join_features(device_df, diary_df, cc_df):
df
[
"device_sp"
]
=
df
[
"second_positions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
0
))
df
[
"device_p"
]
=
df
[
"projects_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
0
))
df
[
"device_fd2"
]
=
df
[
"first_demands_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
1
))
df
[
"device_sd2"
]
=
df
[
"second_demands_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
1
))
df
[
"device_fs2"
]
=
df
[
"first_solutions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
1
))
df
[
"device_ss2"
]
=
df
[
"second_solutions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
1
))
df
[
"device_fp2"
]
=
df
[
"first_positions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
1
))
df
[
"device_sp2"
]
=
df
[
"second_positions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
1
))
df
[
"device_p2"
]
=
df
[
"projects_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
1
))
#
df["device_fd2"] = df["first_demands_x"].apply(lambda x: nth_element(x, 1))
#
df["device_sd2"] = df["second_demands_x"].apply(lambda x: nth_element(x, 1))
#
df["device_fs2"] = df["first_solutions_x"].apply(lambda x: nth_element(x, 1))
#
df["device_ss2"] = df["second_solutions_x"].apply(lambda x: nth_element(x, 1))
#
df["device_fp2"] = df["first_positions_x"].apply(lambda x: nth_element(x, 1))
#
df["device_sp2"] = df["second_positions_x"].apply(lambda x: nth_element(x, 1))
#
df["device_p2"] = df["projects_x"].apply(lambda x: nth_element(x, 1))
df
[
"device_fd3"
]
=
df
[
"first_demands_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
2
))
df
[
"device_sd3"
]
=
df
[
"second_demands_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
2
))
df
[
"device_fs3"
]
=
df
[
"first_solutions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
2
))
df
[
"device_ss3"
]
=
df
[
"second_solutions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
2
))
df
[
"device_fp3"
]
=
df
[
"first_positions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
2
))
df
[
"device_sp3"
]
=
df
[
"second_positions_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
2
))
df
[
"device_p3"
]
=
df
[
"projects_x"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
2
))
#
df["device_fd3"] = df["first_demands_x"].apply(lambda x: nth_element(x, 2))
#
df["device_sd3"] = df["second_demands_x"].apply(lambda x: nth_element(x, 2))
#
df["device_fs3"] = df["first_solutions_x"].apply(lambda x: nth_element(x, 2))
#
df["device_ss3"] = df["second_solutions_x"].apply(lambda x: nth_element(x, 2))
#
df["device_fp3"] = df["first_positions_x"].apply(lambda x: nth_element(x, 2))
#
df["device_sp3"] = df["second_positions_x"].apply(lambda x: nth_element(x, 2))
#
df["device_p3"] = df["projects_x"].apply(lambda x: nth_element(x, 2))
df
[
"content_fd"
]
=
df
[
"first_demands_y"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
0
))
df
[
"content_sd"
]
=
df
[
"second_demands_y"
]
.
apply
(
lambda
x
:
nth_element
(
x
,
0
))
...
...
@@ -566,20 +566,20 @@ def device_diary_fe(device_id, diary_ids, device_dict, diary_dict):
device_info
[
"device_fp"
]
=
nth_element
(
device_fp
,
0
)
device_info
[
"device_sp"
]
=
nth_element
(
device_sp
,
0
)
device_info
[
"device_p"
]
=
nth_element
(
device_p
,
0
)
device_info
[
"device_fd2"
]
=
nth_element
(
device_fd
,
1
)
device_info
[
"device_sd2"
]
=
nth_element
(
device_sd
,
1
)
device_info
[
"device_fs2"
]
=
nth_element
(
device_fs
,
1
)
device_info
[
"device_ss2"
]
=
nth_element
(
device_ss
,
1
)
device_info
[
"device_fp2"
]
=
nth_element
(
device_fp
,
1
)
device_info
[
"device_sp2"
]
=
nth_element
(
device_sp
,
1
)
device_info
[
"device_p2"
]
=
nth_element
(
device_p
,
1
)
device_info
[
"device_fd3"
]
=
nth_element
(
device_fd
,
2
)
device_info
[
"device_sd3"
]
=
nth_element
(
device_sd
,
2
)
device_info
[
"device_fs3"
]
=
nth_element
(
device_fs
,
2
)
device_info
[
"device_ss3"
]
=
nth_element
(
device_ss
,
2
)
device_info
[
"device_fp3"
]
=
nth_element
(
device_fp
,
2
)
device_info
[
"device_sp3"
]
=
nth_element
(
device_sp
,
2
)
device_info
[
"device_p3"
]
=
nth_element
(
device_p
,
2
)
#
device_info["device_fd2"] = nth_element(device_fd, 1)
#
device_info["device_sd2"] = nth_element(device_sd, 1)
#
device_info["device_fs2"] = nth_element(device_fs, 1)
#
device_info["device_ss2"] = nth_element(device_ss, 1)
#
device_info["device_fp2"] = nth_element(device_fp, 1)
#
device_info["device_sp2"] = nth_element(device_sp, 1)
#
device_info["device_p2"] = nth_element(device_p, 1)
#
device_info["device_fd3"] = nth_element(device_fd, 2)
#
device_info["device_sd3"] = nth_element(device_sd, 2)
#
device_info["device_fs3"] = nth_element(device_fs, 2)
#
device_info["device_ss3"] = nth_element(device_ss, 2)
#
device_info["device_fp3"] = nth_element(device_fp, 2)
#
device_info["device_sp3"] = nth_element(device_sp, 2)
#
device_info["device_p3"] = nth_element(device_p, 2)
diary_lst
=
[]
diary_ids_res
=
[]
for
id
in
diary_ids
:
...
...
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